This supervised learning technique can process both numeric and categorical input attributes.
A) linear regression
B) Bayes classifier
C) logistic regression
D) backpropagation learning

Question

Quizplus · Accepted Answer

The Bayes classifier is able to process both numeric and categorical input attributes through probability calculations and classification rules. Linear regression and logistic regression models are primarily used for numerical input attributes, while backpropagation learning is a technique used in artificial neural networks for various types of data including numerical, categorical, and even image data.

This Supervised Learning Technique Can Process Both Numeric and Categorical